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Updated: Feb 26, 2026

Acute and Chronic Tactile Sensory Testing after Spinal Cord Injury in Rats
Published on: April 4, 2012
Spinal Processing of Spatiotemporally Diverse Tactile Stimuli: Computational Insights into Allodynia and Spinal Cord
Laura Medlock1,2,3, Steven A Prescott4,2,5,6,7
1Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada.
Abstract:
Weakening of synaptic inhibition in the spinal dorsal horn (SDH) contributes to mechanical allodynia after peripheral nerve pathology. Restoring inhibition can alleviate allodynia, whereas weakening it is sufficient to induce allodynia and spontaneous pain in uninjured conditions. Disinhibition is known to un-gate nociceptive polysynaptic spinal circuits, but why allodynia is predominantly evoked by certain touch stimuli remains unclear. To address this, we incorporated receptive fields (RFs) into a computational model of the SDH to study the processing of stimuli with different spatiotemporal features. Our model reveals that broad stimuli normally suppress spinal output by engaging inhibition from the RF's inhibitory surround, but previously subliminal excitation can be engaged when inhibition is compromised, fundamentally altering excitatory-inhibitory balance. The efficacy of spinal inhibition also depends on the input's temporal pattern, especially since excitatory and inhibitory spinal neurons are preferentially sensitive to synchronous and asynchronous input, respectively. Furthermore, spikes driven by synchronous input are resistant to feedforward inhibition. This combination of effects may explain why broad dynamic touch (e.g., brush) evokes more allodynia than punctate static touch. On the other hand, asynchronous and spatially disordered input like that evoked by kilohertz-frequency spinal cord stimulation was found to preferentially activate inhibitory neurons, thus reducing allodynia. Overall, our results suggest how spatial and temporal stimulus features impact the flow of sensory input through disinhibited spinal circuits. Our results show how quantitative computational models can connect injury-induced molecular changes to clinically relevant sensory effects by revealing nonintuitive processes occurring at the cellular and circuit levels.
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